7. Design, Applications and Impact#
Investigate how machine learning (ML) supports automation through the use of DevOps, robotic process automation (RPA) and business process automation (BPA)
Explore models of training ML
Investigate common applications of key ML algorithms
data analysis and forecasting
virtual personal assistants
image recognition
Assess the impact of automation on the individual, society and the environment
safety of workers
people with disability
the nature and skills required for employment
production efficiency, waste and the environment
the economy and distribution of wealth
Explore by implementation how patterns in human behaviour influence ML and AI software development
psychological responses
patterns related to acute stress response
cultural protocols
belief systems
Investigate the effect of human and dataset source bias in the development of ML and AI solutions
Chapter Contents
- 7.1. Types Of Machine Learning Summary
- 7.2. Exercise: Applications of Machine Learning Algorithms
- 7.3. ML in DevOPS, RPA and BPA
- 7.4. MLOps
- 7.5. Bias in AI
- 7.6. How Cultural Protocols and Belief Systems Impact AI
- 7.7. How Patterns in Human Behaviour Influence ML and AI Software Development
- 7.8. The Impacts of Automation on the Individual, Society and the Environment